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Data Engineer Ml Jobs in California (NOW HIRING)

Clera

Founding Engineer - ML Research

Mountain View, CA · On-site

$220K - $300K/yr

About the Role This is a founding-level ML research engineering role at a fast-moving AI data and evaluation company serving top frontier AI labs. You'll work directly with the founding team to build ...

Paramount

Data Engineer Data Pipelines and ETL

Burbank, CA · On-site

$121K - $146K/yr

Programming & ML Data Integration Proficiency in Python (or similar language) for data processing and ML pipeline integration. Experience with distributed processing frameworks such as Spark.

Centstone

Data Engineer

Sunnyvale, CA · On-site

$75 - $85/hr

Exposure to AI/ML concepts and enterprise analytics platforms. * Excellent communication, stakeholder management, and business analysis skills. Position Highlights * Job Title: Data Engineer * Client:

Paramount

Data Engineer Data Pipelines and ETL

Burbank, CA · On-site

$121K - $146K/yr

In this role, you will build and support batch and real-time data systems powering analytics, ML ... Programming & ML Data Integration * Proficiency in Python (or similar language) for data processing ...

Paramount

Data Engineer Data Pipelines and ETL

Burbank, CA · On-site

$121K - $146K/yr

In this role, you will build and support batch and real-time data systems powering analytics, ML ... Programming & ML Data Integration * Proficiency in Python (or similar language) for data processing ...

Wipro Limited

Data Engineer

Fremont, CA · On-site

$60K - $148K/yr

Data Engineer City: Fremont State/Province: California Posting Start Date: 8/12/26 Wipro Limited ... Proficiency in Python, AI/ML, SQL and modern DevOps/ML Ops practices. * Familiarity with agentic AI ...

Vings Technologies

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

You will bridge the gap between data science and software engineering, taking models from concept ... End-to-End Machine Learning: · Design and deploy a wide range of ML models (classification ...

Vings Technologies

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Data Engineer Location:- San Jose, CA - Onsite Contract: 6-9+ months. Experience: 9+ years ... End-to-End Machine Learning: · Design and deploy a wide range of ML models (classification ...

Vings Technologies

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Data Engineer Location:- San Jose, CA - Onsite Contract: 6-9+ months. Experience: 9+ years ... End-to-End Machine Learning: · Design and deploy a wide range of ML models (classification ...

Vings Technologies

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Data Engineer Location:- San Jose, CA - Onsite Contract: 6-9+ months. Experience: 9+ years ... End-to-End Machine Learning: · Design and deploy a wide range of ML models (classification ...

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Showing results 21-40

All JobsData Engineer Ml JobsData Engineer Ml Jobs in California

Data Engineer Ml information

What does a data engineer ML do?

A Data Engineer ML (Machine Learning) is responsible for designing, building, and maintaining the data pipelines and infrastructure necessary for machine learning applications. They clean, process, and organize large datasets to ensure data quality and accessibility for data scientists and ML engineers. In addition, they may work on deploying machine learning models to production environments and optimizing data workflows for efficiency and scalability.

What are the key skills and qualifications needed to thrive as a data engineer ML?

To thrive as a Data Engineer ML, you need strong programming skills (especially in Python or Scala), knowledge of data modeling, and a solid foundation in database technologies, typically supported by a degree in computer science or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and ETL tools, as well as relevant certifications, is highly beneficial. Excellent problem-solving abilities, teamwork, and clear communication help you collaborate with data scientists and stakeholders effectively. These skills are essential for building robust data pipelines and infrastructure that enable scalable, high-quality machine learning solutions.

How do data engineer ML roles typically collaborate with data scientists and machine learning engineers on projects?

Data Engineer ML professionals work closely with data scientists and machine learning engineers by building and maintaining robust data pipelines, ensuring clean and reliable datasets are readily available for modeling and analysis. They often participate in meetings to understand model requirements, help optimize data storage for performance, and support the deployment of machine learning models into production environments. Effective collaboration involves continuous communication to troubleshoot data issues, implement data validation, and scale solutions as project needs evolve. This teamwork ensures that data-driven projects move efficiently from experimentation to deployment.

What is the difference between Data Engineer Ml vs Data Scientist?

AspectData Engineer MlData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, finance

Data Engineer Ml focuses on developing and maintaining data infrastructure and pipelines, while Data Scientists analyze data and build predictive models. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Data Engineer Ml jobs in California?

For Data Engineer Ml jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Engineer Ml jobs in California look for?

The top searched job categories for Data Engineer Ml jobs in California are:

What cities in California are hiring for Data Engineer Ml jobs?

Cities in California with the most Data Engineer Ml job openings:

Data Engineer Ml jobs near you
Infographic showing various Data Engineer Ml job openings in California as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Software Engineer, ML Data Reliability

Gridmatic Inc

Cupertino, CA • On-site

$180K - $270K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description

The role
We're looking to hire our first data software engineer at Gridmatic! Looking for a startup-minded eng who works closely with our ML and optimization teams to ingest and transform the data critical to all the work we do.
We use a lot of interesting real-world data - large-scale weather forecasts, timeseries data from the grid and energy markets, and telemetry from physical batteries. We're looking for a hybrid software and data engineer who'd be able to take ownership of this area to both make sure the data is ingested and transformed reliably, and also be able to build the tooling/abstractions to make our pipelines better.
What you might work on:
  • Owning the ingestion and transformation of datasets needed for mission-critical operations like machine learning, renewable energy supply, and battery storage.
  • Designing data models and choosing good data persistence strategies around large volumes of energy and weather timeseries data.
  • Creating data products using DBT, and building dashboards/visualizations to help us make key business decisions.
  • Helping inform our data architecture, and best practices around storing and using data.

What we're looking for:
  • A strong software engineer + data engineer hybrid who has worked on large-scale production data pipelines, and can take ownership of critical datasets.
  • Has worked with large-scale data, and makes good choices on data storage and schema design (relational databases, data warehouses, object storage, timeseries data).
  • Has worked at a startup or similar environment, and works well with ambiguity and having a lot of scope/responsibility.
  • Has strong software engineering skills. Being able to write easy-to-extend and well-tested code.
  • Has experience with data processing tools like DBT, spark, kafka, flink, beam, dataflow, etc.

Our stack includes: Python, GCP, Kubernetes, Terraform, Flyte, Temporal, React/NextJS, Postgres, BigQuery, DBT.
This role requires candidates to adhere to our hybrid policy, 3 days a week in office with at least 1 day in our Cupertino office.
Taking care of you today:
- Continuing Education Opportunities
- Flexible PTO
- Medical, Dental and Vision plans with competitive employer contributions
- Pre-Tax commuter benefits
- $1500/year non profit donation matching program through Millie
- Home Office Stipend
Protecting your future for you and your family:
- 401K contribution match up to 4%
- Company-paid parental leave
- Company Paid Life Insurance
- Stock Option Loan Program
Pay Range:
$180,000 - $270,000 USD, plus competitive equity

Apply